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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Ultra-compact binary neural networks for human activity recognition on RISC-V processors
Francesco Daghero, Chen Xie, Daniele Jahier Pagliari, et al.
(2021)
Open Access | Times Cited: 16

Showing 16 citing articles:

Deformable Convolutional Networks for Multimodal Human Activity Recognition Using Wearable Sensors
Shige Xu, Lei Zhang, Wenbo Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-14
Closed Access | Times Cited: 36
A Systematic Literature Review on Binary Neural Networks
Ratshih Sayed, Haytham Azmi, Heba Shawkey, et al.
IEEE Access (2023) Vol. 11, pp. 27546-27578
Open Access | Times Cited: 19
A Study on the Application of TensorFlow Compression Techniques to Human Activity Recognition
Chiara Contoli, Emanuele Lattanzi
IEEE Access (2023) Vol. 11, pp. 48046-48058
Open Access | Times Cited: 13
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks
Francesco Daghero, Alessio Burrello, Chen Xie, et al.
ACM Transactions on Embedded Computing Systems (2022) Vol. 21, Iss. 4, pp. 1-28
Open Access | Times Cited: 19
Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs
Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino
(2022)
Open Access | Times Cited: 12
A Hybrid Accuracy- and Energy-Aware Human Activity Recognition Model in IoT Environment
Devki Nandan Jha, Zhenghua Chen, Shudong Liu, et al.
IEEE Transactions on Sustainable Computing (2022) Vol. 8, Iss. 1, pp. 1-14
Closed Access | Times Cited: 9
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes
Matteo Risso, Alessio Burrello, Luca Benini, et al.
(2022)
Open Access | Times Cited: 8
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes
Francesco Daghero, Alessio Burrello, Enrico Macii, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 1, pp. 742-757
Open Access | Times Cited: 3
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs
Chen Xie, Francesco Daghero, Yukai Chen, et al.
2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2022), pp. 1332-1336
Open Access | Times Cited: 5
Enhancing Bnn Storage and Performance Requirements Via Efficient Quantization and Variable Encoding
Franyell Silfa, Antonio González, M.C. Ordόñez
(2024)
Closed Access
Reconhecimento de atividades humanas utilizando sensores inerciais e aprendizado de máquina
Bruno Montanari
(2024)
Open Access
Energy Efficiency of Deep Learning Compression Techniques in Wearable Human Activity Recognition
Chiara Contoli, Emanuele Lattanzi
IFIP advances in information and communication technology (2023), pp. 102-113
Closed Access | Times Cited: 1
Practical Insights on Incremental Learning of New Human Physical Activity on the Edge
George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu, et al.
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (2023), pp. 1-4
Open Access | Times Cited: 1
Are alternatives to backpropagation useful for training Binary Neural Networks? An experimental study in image classification
Ben Crulis, Barthélemy Serres, Cyril de Runz, et al.
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (2023), pp. 1171-1178
Open Access
HIRMA: High-Performance Implementation for RISC-V Microcontroller Applications
Negin Safari, Amirmahdi Joudi, Maryam Rajabalipanah, et al.
(2023), pp. 1-6
Closed Access
Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers
Francesco Daghero, Alessio Burrello, Chen Xie, et al.
IFIP advances in information and communication technology (2022), pp. 25-47
Closed Access
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